Dive into the complete episode list for Project Flux. Each episode is cataloged with detailed descriptions, making it easy to find and explore specific topics. Keep track of all episodes from your favorite podcast and never miss a moment of insightful content.
In this episode, we explore the rapid advancements in AI, its implications for jobs, project delivery, and the ethical considerations surrounding emerging models like Astra and Gemini. We discuss how AI is transforming industries and what the future might hold.
Key Topics
AI model advancements from Astra, Gemini, and others
Implications of AI on jobs and the economy
The technical evolution of large language models and their capabilities
Ethical considerations and safety in AI development
The impact of AI on project delivery and construction industry
Chapters
00:00 Introduction to the AI landscape and recent developments 01:57 AI's impact on cybersecurity and economic models 03:52 The evolution of AI models and their capabilities 06:46 The debate on AI hype versus reality 10:02 Job displacement, diffusion, and the doomsday scenarios 14:48 The importance of AI alignment and value systems 19:55 Project delivery, automation, and decision-making bottlenecks 25:01 The future of AI models: Astra, Gemini, and emerging capabilities 29:52 Model efficiency, token usage, and recursive self-improvement 34:56 The role of browser use, agent swarms, and hacking incidents 40:02 The ethical and societal implications of AI advancements 45:11 AI in construction: design, automation, and project management 49:00 Summary, future outlook, and closing remarks
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
AI Will Change Everything: Jobs, Business & the Future of Work | Chris de Gruben
In this episode of Project Flux, James and Yoshi talk with Chris de Gruben about AI, automation, AGI, the future of work, and its impact on property and professional services. If you want to understand how AI could reshape your career and what skills will matter next, this conversation is worth a listen.
Key Topics
AI's role in military and warfare
Impact of AI on jobs and industry
AI regulation and ethical considerations
Development of AGI and superintelligence
Global AI strategies and cultural differences
AI's influence on property and real estate
Education and AI literacy for the future
AI's economic and geopolitical implications
Chapters
00:00 Introduction and guest overview 03:16 Autonomous systems and AI in military operations 06:26 Regional AI strategies: Middle East and cultural differences 10:28 Future job roles and AI-driven job transformation 14:13 Training future surveyors and AI skills 18:08 Transforming consulting and transformation projects 21:22 The speed of AI adoption and technological progress 25:17 Global disparities and AI's geopolitical impact 30:35 Tools for AI compliance and standards enforcement 35:10 Defining AGI and superintelligence 38:36 Physical hardware and AI embodiment 42:39 Synthetic data and AI training challenges 43:15 Fragmentation and shadow AI risks 44:30 Brand, reputation, and trust in AI-driven industry 45:14 Risks of AI mishandling and data leaks 46:17 Societal resistance and AI backlash 47:24 The future of human-driven services and AI coexistence 48:39 Preparing for AI: education and soft skills 49:03 Surveying and AI: future skills and roles 49:53 Closing remarks and future outlook
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
Will AI Replace Project Managers? Galen Low on What Actually Changes
Galen Low, co-founder of the Digital Project Manager, shares insights on how digital project management intersects with AI, human skills, and the future of work in a rapidly changing technological landscape.
Key Topics
Impact of AI on project management
Human skills versus technical skills in the AI era
The divide between system-focused and social-focused project managers
Adapting to rapid technological change
The importance of collaboration and communication
The evolution of job roles and titles in project management
Overcoming fear and misinformation about AI
Strategies for lifelong learning and adaptability
Chapters
00:00 Introduction to Galen Lowe and his work 01:32 Connecting digital project management with infrastructure 03:47 Impact of AI on project leadership and industry mindset 05:00 Initial reactions to AI and project management evolution 08:25 Concerns about the rapid pace of AI development 10:02 Division between system-focused and social-focused project managers 17:03 The importance of human skills in an AI-driven world 20:21 The artificial divide and the convergence of skills 22:36 Using AI to enhance collaboration and learning 30:39 The journey of AI adoption and managing expectations 37:34 The potential for AI to close gaps and improve teamwork 39:14 Advice for future project managers in a changing world 44:13 The value of human connection and storytelling 47:03 Reflections on the meaning of impact and legacy 48:16 Where to find Galen Lowe and connect with him
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
AI Adoption Is Broken: The Hidden Costs Nobody Talks About
In this episode, Dr. Alex Leithard discusses the landscape of AI, its applications, cultural implications, pricing models, and the future of AI technology. Listeners will gain insights into how organizations can approach AI adoption responsibly and effectively.
Key Topics
AI landscape and applications
Cultural change in AI adoption
Pricing models and economic impact of AI
Measuring AI value and impact
AI safety, bias, and ethical considerations
Future trends and the potential of AGI
Chapters
00:00 Introduction to Dr. Alex Leithardt and episode overview 01:08 Dr. Leithardt's background and journey into AI 02:42 Understanding AI technologies and their applications 04:32 The role of organizational culture in AI adoption 05:48 Hypothesis testing and experimentation in AI projects 07:30 Quantitative vs qualitative measurement of AI value 08:49 Challenges in AI ROI and market disruption 13:50 Pricing models for AI: Value-based and outcome-based 18:20 Market disruption and the race to AI adoption 22:26 Environmental impact and data transparency in AI 24:49 On-device AI and future ecosystem considerations 28:50 Predictions for AGI and the future of AI technology 31:27 Consciousness, intelligence, and philosophical perspectives 34:33 Information overload and managing AI in organizations 36:20 Transparency, opaqueness, and user experience in AI tools 38:30 Data privacy, bias, and responsible AI use 41:21 Book and resource recommendations from Dr. Leithardt 43:24 On device AI stacks and tools used by Dr. Leithardt 44:50 Closing remarks and future discussions
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
Human Judgment Still Matters in an AI OODA Loop with Nate Amidon, Form100 Consulting
In this episode, Nate Amidon shares his unique journey from a C-17 pilot to founder of Form 100 Consulting, highlighting how military skills translate into technology consulting and the importance of trust and governance in AI deployment.
Key Topics
Military skills in technology consulting
The importance of trust in AI
Governance and regulation of AI tools
Using AI to improve decision-making and project delivery
The OODA loop and AI's role in fast decision environments
Transitioning from military to civilian tech careers
Chapters
00:00 Introduction and episode overview 01:12 Nate Amidon's background as a C-17 pilot 02:13 Transition from military to technology consulting 03:01 Skills transfer from military to tech projects 04:07 Differences and similarities between military and private sector processes 06:23 The role of SOPs and regulation in organizations 08:14 AI governance and risk management 10:23 Balancing governance and innovation in AI deployment 13:17 Trust in AI and project reporting 17:06 Watermarking and authenticity of AI-generated content 19:30 The role of AI in decision-making and the OODA loop 22:20 AI's ability to discern and make decisions 28:39 Long horizon tasks and AI autonomy 33:17 Veteran support programs and MSSA 34:02 AI as a decision-making and creativity tool 37:55 Risks of over-reliance on AI in project management 42:18 Nate Amidon's work with veterans and future predictions
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
How AI Will Transform Law and Justice - Former UK Justice Secretary on AI, Courts and the Future of Law
In this episode, Sir Robert Buckland discusses the impact of AI on the justice system, the challenges of integrating technology into legal processes, and the future of AI regulation. His insights shed light on how AI can transform justice while highlighting the importance of human judgment and ethical considerations.
Key Topics
Impact of AI on the justice system
Challenges of integrating AI into courts
AI bias and ethical considerations
Future regulation of AI and legal implications
Training legal professionals for AI adoption
Chapters
00:00 Introduction to Sir Robert Buckland and his career 03:29 The risks of misinformation and deep fakery in courts 07:09 The importance of verification and professional standards 11:24 The role of human judgment versus AI in courts 17:36 The evolution of legal work and technology over decades 20:39 AI's impact on court backlog and efficiency 24:00 Bias in large language models and societal implications 26:37 Law and social change: AI's role in reflecting societal values 27:18 The importance of human final judgment in legal decisions 30:50 Richard Susskind's perspective on professional change 31:15 The future of the legal profession in the AI era 33:17 Developing AI systems in partnership with legal professionals 34:30 Lessons from past technological failures in justice systems 35:09 Risks of AI system failures and the need for oversight 36:10 The shift towards output-based legal service pricing 37:24 The potential of agentive AI in court processes 38:23 Insights into government decision-making and AI awareness 40:21 The role of government and regulation in AI development 42:23 Global AI regulation: EU, US, and UK perspectives 44:29 Reflections on technological innovation and future prospects
Links & Stuff
Sir Robert Buckland KC: Protecting the Rule of Law Doesn’t Mean the Rule of Lawyers Read the article
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
The Firms Banning Juniors From AI to Protect Their Judgment | Isabela Parisio
In this episode, Isabela Parisio, an AI policy and governance expert, discusses the complexities of AI regulation, the race between law and technology, and the future of AI in legal and other sectors. She shares insights from her experience at King's College and her research on responsible AI.
Key Topics
AI policy and governance complexities
The pace of regulation versus technological development
Global and regional AI regulations
The impact of AI on legal practice and law firms
Market power and geopolitical considerations in AI regulation
The role of regulators and dialogue in AI governance
AI hallucinations and legal liability
Future predictions for AI regulation in five years
Chapters
00:00 Introduction to AI policy and governance 02:01 Isabella's background and journey into AI regulation 03:48 The increasing importance of AI regulation and political debates 06:07 The scattered landscape of global AI regulations 06:57 Law versus technology: the race and pace problem 08:56 The impact of market power and geopolitical interests 10:54 The role of regulation in innovation and risk management 13:03 Case study: AI in the legal sector and liability issues 15:57 The importance of dialogue and regulatory engagement 17:57 Future predictions for AI regulation and potential crises
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
In this episode, Emile Kfouri from Autodesk shares insights on AI's evolving role in construction and design, the future of outcome-based modeling, and how humans and AI can collaborate effectively.
Key Topics
AI's role in construction and design
Outcome-based modeling and its implications
The evolution of developer work with AI
Heuristics and their role in AI development
Multi-agent systems and scaffolding in AI
Responsible AI and ethical considerations
Future skills for developers and users
The impact of AI on human roles and collaboration
Chapters
00:00 Introduction and episode overview 01:13 Guest introduction: Emil Kofori from Autodesk 02:09 Emil's background and team overview at Autodesk 04:03 Challenges in AI adoption and responsible use 05:22 Changes in developer advocacy and AI's influence 07:33 Shift towards outcome-based design in construction 09:41 Scrutinizing AI models and understanding their thought process 12:25 Multi-agent architectures and scaffolding in AI 17:45 Heuristics, AI, and open-ended problem solving 23:06 Indicators for when not to use AI 28:50 The future skills of developers and humans in AI era 39:31 Books that influenced Emil's thinking 41:34 Predictions for AI in AEC in five years 43:06 Closing remarks and where to find Emil
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
The Biggest AI Opportunity in Construction Right Now / With João Dias & Dr Shirin Dora
In this week's episode, we are joined by João Dias, Co-Founder and CEO of Constructer.ai, and Dr Shirin Dora, Senior Lecturer in Neuromorphic Computing at Loughborough University, to discuss what trustworthy AI really requires in construction.
Key Topics
AI's impact on construction project management
Data quality and unstructured data in construction
Use of live data versus historical data in AI models
The importance of domain expertise in AI solutions
Challenges of AI adoption in construction industry
The concept of faithful but wrong in AI outputs
Future prospects of AI and AGI in construction
Chapters
00:00 Introduction to the episode and guests 01:09 Joao Dias discusses his background and motivation for founding Constructor 02:34 The personal pain points in project delivery that AI aims to solve 03:11 Shirin Dora shares her transition from academic machine learning to industry impact 04:11 The collaboration between domain expertise and AI technology 06:02 Differentiating Constructor from other construction tech platforms 09:52 Constructor's approach: detect, quantify, and act with live data 11:01 Why focus on live data instead of historical data 12:21 Choosing appropriate AI techniques for construction problems 16:15 Understanding hallucination versus faithful but wrong in AI outputs 21:32 Liability and trust in AI-generated insights in construction 24:13 Current AI adoption levels in the construction industry 34:24 Preparing for the future: building AI capabilities for construction professionals 41:54 The long-term outlook for AI and the possibility of AGI in construction
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
How AI Is Changing Education, Work & Human Behavior
Helen Routledge, CEO of Totem Learning, shares insights on the intersection of AI, serious games, and human behavior. Discover how immersive technology and behavioral science are shaping the future of learning and performance.
Key Topics
The role of serious games in behavior change
Impact of AI on game design and creativity
The importance of practice in learning and memory
Holistic systems thinking in technology adoption
Ethics and regulation of AI in training
The human element in AI-driven systems
Cost and quality considerations in immersive learning
The future of work and AI adoption among different age groups
Chapters
00:00 Introduction to Helen Routledge and Totem Learning 01:10 Helen's background in psychology and behavior change 02:30 What are serious games and their role in learning 03:46 Current focus on AI and its impact on software and game design 05:18 The challenge of quality in AI-generated content 06:55 The importance of creativity and human direction in game development 07:41 Holistic systems thinking in behavior change and technology 08:22 Practice versus instant knowledge in learning 10:30 Building mental models through practice and experience 12:18 The value of doing and experiential learning 13:33 The emotional element in learning and AI simulation 15:33 Empowering learners through problem-solving and choice 17:00 AI as a supporter versus a control in learning 18:03 Designing AI characters with emotional and psychological depth 20:28 Emulating emotion and human traits in AI characters 22:39 Cost, quality, and the economics of immersive learning 24:36 Risks and safeguards in AI development and deployment 26:31 Experimentation and rapid testing with AI tools 28:14 Regulation, safety, and slowing down AI progress 30:43 AI adoption and resistance among different age groups 33:22 The societal impact of AI and future work trends 36:22 The importance of human connection in a digital world 38:45 The unique value of human judgment in immersive learning 42:37 Helen's recommended game: Zelda Breath of the Wild 43:46 Nested problem solving in games and real-world applications 44:50 The joy of curiosity and continuous learning 45:46 Connecting with Helen and final thoughts
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
“AI Agents Are Running Entire Businesses — Is Project Delivery Next?”
In this episode, Ritesh Patel, co-founder of TicketFairy, shares insights on how AI is transforming event management, ticketing, and industry dynamics. Discover how innovative AI-driven tools are streamlining operations, enhancing fan engagement, and shaping the future of live events.
Key Topics
AI in event management and ticketing
Automation of event production tasks
Word of mouth and network effects in ticket sales
AI-driven industry insights and analytics
Custom AI harness and skills for event planning
Impact of AI on jobs and industry dynamics
Chapters
00:00 Introduction to Ritesh Patel and TicketFairy 01:11 Ritesh's background in tech and event production 03:03 Identifying market gaps in event tech 03:55 TicketFairy's dual focus on promoters and fans 04:46 The importance of industry health and sustainability 05:57 Digitizing word of mouth and marketing 08:54 AI's role in streamlining event logistics 10:57 Building custom AI harnesses for industry-specific needs 12:58 Early experiments with AI and LLMs in event management 15:04 The development of AI agents for event production 18:02 Proactive AI in operational management and safety 19:56 AI for continuous improvement and feedback loops 21:48 AI's role in logistics, contracts, and vendor management 24:56 The importance of ground-level experience in AI development 29:56 Scaling AI systems for business and industry 31:53 Future potential of recursive AI improvements 33:52 Impact of AI on jobs and industry efficiency 37:09 Societal implications and the AI revolution 40:05 The enduring value of in-person experiences 41:08 Personal influences and recent technological inspirations 42:06 Predictions for the future of live events in 2031 43:50 Closing thoughts and where to find Ritesh
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
Why 95% of AI Projects Fail — and What the 5% Do Differently
In this episode, Alex Luketa from Xerini shares insights on AI, data management, and the future of technology, emphasizing the importance of data quality, governance, and the societal impacts of AI.
Key Topics
Data silos and quality issues
Impact of AI on organizational culture
Risks and governance of AI
Future hardware and local models
Societal impacts and inequality
Chapters
00:00 Introduction to Alex Luketa and Zorini 01:15 Alex's background in finance and AI 02:28 The core problem: Data silos and quality 03:38 AI's influence on organizational culture 04:39 Progress in data maturity and AI adoption 06:45 Starting small with data projects 08:10 Using AI to assess data quality 09:11 Lessons from HS2 project and AI failures 10:07 Business case and success metrics for AI 11:35 Addressing AI panic and data security concerns 12:14 Risks of AI and data privacy 14:58 The future of AI hardware and costs 16:10 Legislation, governance, and geopolitical risks 18:36 Local models and AI competition 20:43 Environmental costs of AI and data centers 22:24 Global AI market and competition 24:31 Market dynamics and monopoly concerns 26:13 The power of local hardware and AI accessibility 28:38 AI's societal impact and inequality 32:20 AI in healthcare and societal benefits 36:28 The future of AI legislation and governance 40:20 Adapting to AI and future predictions 44:27 Predictions for AI in 2031 46:26 Where to find Alex and Zorini
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
Oxford Expert Reveals Why Projects Fail & How AI Changes Everything
In this episode, Atif Ansar discusses the transformative impact of AI on project management, the psychological biases affecting project delivery, and the future of autonomous construction. He shares insights from his work at Foresight Works and explores how AI can enhance decision-making and efficiency in complex projects.
Key Topics
Impact of AI on project management and construction
Psychological and political biases in project delivery
Reference class forecasting and AI techniques
The acceleration of AI capabilities and compute power
Organizational change and new work structures with AI
Risks and limitations of AI models in project management
Future predictions for autonomous construction and AI
Chapters
00:00 Introduction to Atif Ansar and his work 01:54 The impact of AI on project management and infrastructure 04:14 Reference class forecasting and human biases 06:00 The acceleration of AI capabilities and compute power 07:53 Psychological biases and organizational resistance 10:03 Biases in project delivery and organizational culture 12:11 The future of AI in project management and construction 14:12 AI's role in de-biasing and decision support 16:03 Displacement and augmentation of jobs by AI 17:54 The economic impact of AI and data-driven companies 19:50 Small teams, small companies, and AI empowerment 21:57 Organizational structures and pod methodology 24:03 Limitations of AI and implicit knowledge 25:50 AI in project controls and schedule management 27:53 The ecosystem of AI models and system integration 30:00 Future predictions for autonomous construction 31:53 The importance of human expertise and implicit knowledge 34:01 The future of vertical AI and specialized models 36:11 Connecting AI systems and APIs 37:58 Practical applications of AI in project scheduling 40:02 Leadership and organizational maturity in AI adoption 41:54 The limits of codifying complex systems 44:01 The role of implicit knowledge and human experience 45:54 Bold predictions for AI and project delivery in 2034 47:53 Closing remarks and how to connect with Atif
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
UN AI Advisor Reveals the Future of Artificial Intelligence
In this episode, Dr. Craig Ramlal and Daniel Goitia from the University of West Indies discuss the regional and global implications of AI, the importance of regulation, and the Caribbean's role in shaping AI policy and innovation.
Key Topics
Regional AI development in the Caribbean
Global AI governance and regulation
Data sovereignty and bias in AI systems
The role of international organizations in AI policy
Challenges of AI safety and interoperability
Chapters
00:00 Introduction to AI in the Caribbean 03:31 The Evolution of AI and Its Challenges 07:03 Public Perception of AI and Its Implications 11:40 Global AI Governance and Regional Perspectives 16:27 Balancing Innovation and Regulation in AI 20:45 Harmonizing AI Policies in the Caribbean 22:45 Digital Preservation and AI Challenges 25:44 Building Capacity in the Caribbean 28:38 Data Sovereignty and AI Opportunities 31:14 Regulation and Global Standards for AI 35:49 The Future of AI: Risks and Responsibilities 42:54 james.mp4 43:34 Exploring Key Themes in Project Flux 43:46 Exploring the Core Principles of Project Management
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
AI Is Secretly Making You Worse at Your Job — Here's the Fix
In this episode, Rob Butler shares his journey from project management to data analytics and AI, exploring how emerging technologies like graph databases, AI coding, and decision intelligence are transforming the project controls industry. We discuss the future of AI, ethical considerations, and practical steps for adopting innovative tools in complex projects.
Key Topics
Rob Butler's background in project management and data analytics
The impact of AI on coding and project decision-making
Graph databases and their application in projects
Challenges and opportunities of AI in critical systems
The concept of decision intelligence in project controls
The role of skills and tools in future project management
Ethical and security considerations of advanced AI models
Practical steps for adopting new technologies in projects
Chapters
00:00 Introduction to AI's Impact on Coding 06:23 Navigating Project Management and Coding 09:59 Emerging Challenges in Tech and Project Management 12:44 Understanding Graph Databases 20:42 AI and Knowledge Graphs: Finding Patterns 26:48 The Role of Skills in AI Agents 29:37 Collective Intelligence and Agent Networks 33:36 Risks and Alignments in AI Models 36:28 Framing Context in AI Outputs
Links & stuff Rob Butler on LinkedIn: https://www.linkedin.com/in/rob-butler-65841953/ https://www.linkedin.com/company/kaleidoprojects/posts/?feedView=all https://kaleidoprojects.co.uk/ Rob Butler's website—https://kaleidoprojects.co.uk/
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
The End of Apps? The Agent-First Future | Lucrezia Noli, Head of AI for HCLS at Google
In this episode, Lucrezia Noli from Google shares insights on AI's rapid evolution, agentic AI, world models, and the future of AI integration in industries. Discover how Google is shaping the next wave of AI technology and what it means for businesses and developers.
Key Topics
Evolution of AI and large language models
Agentic AI and its capabilities
Grounding LLMs with real-time data
Google's Gemini and world models
Multi-agent architectures and collaboration
AI's role in healthcare and life sciences
Challenges and risks in AI deployment
Future predictions for AI development
Chapters
00:00 Introduction to AI in Healthcare 03:49 The Evolution of Data Science and AI 06:36 Understanding AI Agents and Their Capabilities 09:41 The Role of Human Judgment in AI 12:14 The Displacement Paradox: Can AI Replace Us? 15:00 Trust and Collaboration with AI Agents 17:59 Navigating the Future of AI in Organizations 20:42 Multi-Agent Architectures: Collaboration and Differentiation 23:45 The Future of AI Marketplaces 29:50 Navigating AI Implementation Challenges 33:15 Understanding AI Models and Their Evolution 39:47 The Future of World Models vs. Large Language Models 43:03 The Intersection of Jazz and AI 46:05 Predictions for the Future of AI Interaction
Sign Up for NPlan AI Day ;https://www.nplan.io/events/nplan-summer-ai-day-2026-construction-superintelligence?utm_campaign=37177368-nPlan%20Summer%20AI%20Day%202026&utm_source=projectflux
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
From Metaverse to AI Glasses - What's Really Happening in XR with Ryan Clarke, Data Consultant
In this episode, we explore the latest in AI, extended reality, and future tech trends with expert Ryan Clarke. We discuss the impact of AI on project management, the evolution of mixed reality devices like Apple Vision Pro, and the ethical considerations of emerging technologies.
Key Topics
AI's role in project management and data analysis
The rise and fall of Meta's Horizon Worlds and the metaverse
The development and potential of Apple Vision Pro
Privacy concerns with AR glasses and video capture
Vibecoding and rapid prototyping with AI
The convergence of AI, neurology, and human augmentation
Predictions for AI and superintelligence in the next decade
Chapters
00:00 Introduction and Guest Reintroduction 05:02 Exploring Extended Reality and Its Challenges 10:56 The Future of Mixed Reality and AI Integration 15:30 Use Cases and Practical Applications of XR Technology 21:57 Predictions for the Future of XR and AI 26:33 The Influence of Product Placement in Media 27:52 Exploring Vibe Coding and Extended Reality 29:50 Prototyping with Vibe Coding: A New Era 31:46 The Challenges of Data Visualization and Client Engagement 33:34 Navigating the Limitations of Current Technology 35:16 The Future of Presentations: Moving Beyond PowerPoint 37:20 The Importance of Clean Data in Decision Making 39:05 Legacy Systems: The Challenge of Modernization 41:13 The Human Element in Automation and AI 43:08 The Future of Work: Embracing Change and Innovation 51:05 Unleash the Code 1 Second.mp3 51:44 Introduction to Project Flux 51:44 Exploring the Core Principles of Project Management 51:58 Unleash the Code Intro.wav
Links & Stuff: You can find more about Ryan Clarke: Ryan’s Linkedin: https://www.linkedin.com/in/ryanclarke3/
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
The Shocking Reason AI Isn't Causing Mass Unemployment
In this episode, conversation with Martin Neale explores the impact of AI and video production technology on the industry, emphasizing how technological advancements expand the overall 'pie' rather than just shifting slices. It challenges misconceptions about AI taking over roles and highlights the importance of understanding the broader benefits of innovation.
Key Topics
AI's impact on video production
Myths about AI taking over roles
Technology increases industry size
Video as a tool for better understanding
Chapters
00:00 Introduction to Martin Neale and ICS AI 02:06 Martin's Journey into AI and ICS AI 04:07 AI Adoption in Different Sectors 06:13 The Role of AI in Education and Local Government 09:30 Generational Perspectives on AI 12:08 The Impact of AI on Job Markets 14:51 AI's Role in Recruitment and Workforce Dynamics 18:08 The Future of AI in Organizations 23:21 The Evolution of AI Architecture 24:05 Ambition in AI Implementation 26:53 Measuring AI Success in Organizations 28:26 Challenges in AI Implementation 30:26 Transforming Public Services with AI 33:07 Navigating Dialects and Accents in AI 34:56 Ethics of AI Communication 37:04 The Future of AI and Human Interaction 39:52 Influences and Inspirations in AI Development 43:16 james .mp4 43:57 Exploring Key Themes in Project Flux 44:06 Introduction to Project Flux 44:06 Exploring the Core Principles of Project Management 44:19 Unleash the Code Intro.wav
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
In this episode, industry expert Phil Chell discusses the transformative impact of AI on construction, project management, and professional services. Topics include AI-driven efficiency, industry challenges, and future visions for construction technology. In this engaging interview, Phil Chell shares insights on AI, construction tech, company culture, and future trends in technology. Discover real-world success stories, challenges faced, and the transformative power of innovation in the industry.
Key Topics
AI-driven efficiency in construction
Industry challenges and skills gap
Future visions for construction technology AI in construction and security
Company culture and innovation
Success and failure stories in tech
Future trends in AI and automation
Timestamps: 00:00 - Intro and guest introduction: Phil Chell, AI pioneer in construction 02:48 - The origin story of Hera Waterproofing and AI integration 05:26 - Challenges facing the construction industry and AI opportunities 08:37 - Automating order processing with API and LLM technology 11:21 - The role of human oversight and managing job displacement fears 13:42 - Rethinking the QS profession and orchestrating AI agents 15:56 - The evolution of industry legislation and regulation impacts 20:09 - Unblocking project bottlenecks with AI and regulatory changes 22:26 - CoreOS: digital project management and data management tools 28:56 - Use of drones and photogrammetry in construction surveying 30:44 - Successful case of automation in waste management and AI-powered voice agents 32:29 - Building a company culture that embraces change and innovation 35:12 - The future of AGI and ongoing AI developments 36:11 - The importance of naivety and resilience in technological progress 38:05 - Industry risks, regulation lag, and the wild west of AI development 41:36 - Recommended resources: Ryan Holiday’s "The Obstacle is the Way" 44:01 - Closing thoughts and how to connect with Phil Chell
Links and Stuff: Website: https://www.herawaterproofing.co.uk/ OR https://www.chironai.co.uk/ LinkedIn: Follow Phil on Linked In
Episode sponsored by Movar: https://movar.group/services/tech-and-data
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
Why Most Companies Will Fail at AI Adoption I Greg Lawton
In this in-depth interview, Greg Lawton from Nodes and Link discusses the evolution of AI in construction, recent partnerships with Oracle, and the future of autonomous systems and AI governance. Gain insights into ground truth models, auditable AI, and the transformative potential of AI-driven orchestration in industry.
He explains:
◼️Ground truth models for AI ◼️Auditable AI and trust in automation ◼️Partnerships with Oracle for industry innovation ◼️The evolution of AI in construction and project management
Chapters
00:00 Welcome Back and Introduction to Nodes and Link 01:39 Evolution of Nodes and Link: From Scheduling Tool to AI Expert 04:45 Partnership with Oracle: Shaping the Future of Construction 07:24 Shared Values and Principles in Business 08:40 The Importance of Auditability in AI 11:15 The Role of AI in Project Management 13:40 Industry Fallacies and Lessons Learned 17:20 The Challenge of Non-Software Companies 18:41 Emerging Dynamics in Software Development 22:16 New Features: Autopilot and Ground Truth Models 27:41 The Legal Accountability of AI 29:58 The Future of AI Autonomy 32:12 The Rise of Humanoid Robotics 33:50 Implicit Knowledge and AI 36:35 The Future of Project Management Technology 41:53 Transformations in Professions and Mindsets 49:56 Unleash the Code Intro.wav
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
How ProcurePro Raised $15 Million to transform construction procurement
Procure Pro Secures $15 Million: A New Era in Construction Innovation
Discover how Procure Pro is transforming procurement processes in construction through AI, data integration, and strategic growth, revolutionizing an industry traditionally slow to change.
In this episode:
Alastair Blenkin shares the recent $15 million funding milestone and what it signals for the industry
The evolution of AI in construction tech and the shift from pilots to strategic implementation
How Procure Pro's platform reduces manual work with real-time data and AI-powered decision making
The future of procurement: automating models similar to insurance comparison sites
The importance of deterministic systems and trustworthy AI for critical project data
Managing complex feature interdependencies through dedicated product squads
The role of governance and permissions in enterprise AI deployment
The strategic approach to hiring engineers in an AI-driven industry
Insights on scaling operations and valuing control and visibility in project management
Timestamps:
00:00 - Introduction to Alistair Blenkin and Procure Pro's funding success
00:42 - Recent funding announcement and industry implications
01:31 - Key drivers of Procure Pro’s growth: AI, process, and global expansion
03:07 - AI evolution in construction tech: from pilots to structured strategies
04:43 - How AI is transforming procurement decision making
05:16 - The shift from manual spreadsheets to AI-automated workflows
06:09 - Comparing AI tools like Claude and ChatGPT for construction use cases
07:00 - Benefits and challenges of narrow AI solutions in procurement
07:18 - Data collection at procurement stage and its future potential
08:01 - Defining procurement in construction and its digital transformation
09:23 - Decision-making risks and the importance of structured data
10:13 - Future of procurement: from automation to reinventing the model
11:23 - The vision for real-time, programmatic supply chain pricing
12:19 - Automating quotes comparisons while maintaining human oversight
13:00 - The long-term view on AI and data readiness for construction
14:24 - Opportunities in orchestration and risk detection with AI agents
15:37 - Developing AI copilot features for project management
16:42 - The human element in AI-led procurement and negotiation
17:35 - Costs of AI agents and maintaining human connections
18:58 - The importance of responsibility and "bookending" in AI workflows
19:10 - Building trust through deterministic systems and industry standards
20:34 - Funding details: differences in currency reporting and validation
21:08 - Lessons from early funding pitches and adapting messaging for investors
22:27 - Rapid change in tech and construction projects driven by AI
23:52 - Big vision: data networks and industry-wide AI ecosystems
24:35 - Growth and revenue milestones emphasizing efficiency
25:21 - Building deterministic systems into Procure Pro’s architecture
27:01 - The evolving role of engineers with AI automation
28:25 - Redefining job descriptions and AI’s role in engineering teams
29:51 - Managing interdependent workflows with dedicated product squads
32:00 - Technical infrastructure: APIs, integrations, and middleware
33:19 - Governance, permissions, and enterprise-grade security measures
35:31 - Data search and retrieval: leveraging natural language and permission controls
36:07 - The future of AI storytelling: confidence in a new wave of technology
37:39 - Connecting AI modules: from quote leveling to procurement workflows
38:10 - API development and integration capabilities
39:09 - Final advice for contractors: control, visibility, and early risk detection
44:32 - Key takeaways: visibility and control as industry imperatives
45:34 - Final thoughts and encouragement for industry innovators
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
Project Managers Have a Secret Advantage in the AI Era / Nikki Barua, Flipwork
Dive into the transformative power of AI with Nikki Barua, CEO of Flipwork, as she shares her journey, insights on industry disruption, and the future of work in an AI-driven world. This episode explores how organizations can adapt and thrive amid rapid technological change.
KEY TOPICS
Nikki’s career journey from EY to AI entrepreneurship and her unique interdisciplinary approach
The divide between technology’s speed and humans’ ability to adapt, and how Flipwork aims to bridge that gap
Industry-specific challenges and opportunities with AI disruption, from regulated sectors to SaaS
Reimagining work: from effort-based productivity to creativity, fulfillment, and organizational culture
The concept of reallocation of AI-generated capacity towards innovation and human-centric work
The importance of skills like orchestration of AI agents, resource planning, and leadership in hybrid human-AI teams
The role of emotional intelligence, setting context, and reframing leadership in an AI-enabled workspace
Capabilities and pitfalls of AI energy use, compute resource allocation, and technological convergence
Practical tools like FlipFactor for AI readiness assessment at enterprise and small business levels
Impact of AI on identity, imposter syndrome, and expanding human agency and purpose
The craft of genuine original content and craftsmanship as a differentiator in the proliferation of AI-generated outputs
The evolving struggle: removing mundane labor, emphasizing higher-value creative pursuits, and avoiding superficial challenges
Recommendations for insightful newsletters and podcasts, with highlights like David Senra’s deep dives and Lex Friedman’s rigor
Future visions: abundance, societal purpose, and the importance of human passion and curiosity in an AI-empowered world
TIMESTAMPS 00:00 - Welcome and episode overview with Nikki Barua 00:16 - Nikki’s background and journey into AI and transformation 00:54 - The intersection of strategy, tech, and human adaptation 01:37 - The rapid pace of tech change versus human resilience 02:07—Why Flipwork exists to bridge the AI-human divide 03:32 - Rewiring mindsets for AI adaptation and leadership 04:17 - Connecting the dots across diverse career experiences 04:41 - Industry disruption: challenges and opportunities 05:11 - Navigating regulations in sectors like banking and healthcare 06:15 - The evolving definition of human work and skills 06:50 - Expanding human creativity and fulfilling work in AI age 07:36 - Measuring success beyond productivity: retention and fulfillment 08:04 - Reallocation of AI-driven capacity to innovation 09:04 - Raising the bar: excellence and mastery in the AI era 09:31 - Fulfillment through operating in the zone of genius 10:16 - The evolution of creativity and idea proliferation 10:32 - Energy and compute capacity challenges in AI scaling 11:07 - How resources flow toward high-value industries 11:38 - Capital and energy infrastructure for AI expansion 12:36 - The convergence of AI tools and specialization paths 13:03 - The rise of AI agents and resourcefulness 13:31 - The importance of imagination and bravery in execution 14:16 - Orchestrating multiple AI agents and resource planning 15:08 - The impact on leadership, hybrid teams, and management practices 16:16 - The shift from command-and-control to context setting 17:14 - Emotional intelligence Links and Resources: Nikki Barua's Website: https://www.nikkibarua.com
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
How AI is Secretly Transforming Sports Analytics / Max Sebti, Score, Manako Labs
Max Sebci discusses decentralized AI, collective intelligence, and their application in sports analytics, especially football. The conversation covers the potential of crowd-sourced AI models, computer vision, and the future of AI in democratizing sports data and grassroots opportunities.
Key Topics
Decentralized AI and collective intelligence
Application of computer vision in sports
AI democratization and grassroots opportunities
Chapters
00:00 Introduction to Collective Intelligence and Decentralized AI 03:25 The Power of the Crowd in Problem Solving 08:07 Challenges of Centralized vs. Decentralized AI 09:54 Building Efficient AI Models 12:35 Understanding Computer Vision 14:11 Score: Revolutionizing Sports Intelligence 18:43 Partnership with Reading FC and Use Cases 21:19 Integrating Data and Human Insight in Football 24:04 Leveraging Open Source for Football Clubs 25:30 The Quest for Performance Metrics in Football 26:47 Simulating Football Matches: The Digital Twin Concept 27:27 Understanding Human Behavior in Team Dynamics 28:10 Data-Driven Insights in Project Delivery 30:28 Inversion and Mental Models in AI 32:16 The Role of Computer Vision in AI Development 33:58 Transparency and Trust in AI Models 35:33 Cultural Perceptions of AI and Data Security 36:56 Multimodality and Memory in AI Systems 39:29 The Future of Work in an AI-Driven World 42:32 Democratizing Football Intelligence 44:56 Unleash the Code 1 Second.mp3 44:59 james .mp4 45:37 Exploring Key Themes in Project Flux 45:59 Unleash the Code Intro.wav
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
Head of AI Reveals the Future of Work & Job Displacement
In this episode, Ben Lee, head of AI at Bidwells, shares his journey from real estate to AI leadership, exploring how AI is transforming industries, the importance of domain expertise, and the future of AI and AGI. Discover practical insights on adopting AI, managing organizational change, and the ethical considerations surrounding AI development.
Key Topics
Ben Lee's background and journey into AI The impact of AI on real estate and industry Building AI literacy and organizational adoption Ethical considerations and governance in AI Future trends and the path to AGI
Chapters
00:00 Introduction to AI and Data Roles 02:20 Ben Lee's Background and Journey in Real Estate 06:09 The Impact of AI on Communication and Productivity 10:01 Building Trust and Momentum in AI Adoption 13:52 Bridging the Gap Between Technology and Real Estate 17:20 AI's Role in Restructuring Job Functions 21:20 Collaborative Approaches to AI Integration 23:55 Navigating the AI Acceptance Journey 26:43 The Balance of AI and Human Experience 27:48 Addressing Job Displacement Concerns 29:51 The Future of AI Tools in the Workplace 34:32 The Consumer's Role in AI Evolution 37:39 Defining AGI and Its Implications 41:02 Personal Experiences with AI Integration 47:25 Unleash the Code 1 Second.mp3 47:28 james .mp4 48:05 Introduction to Project Flux 48:05 Exploring Key Themes in Project Flux 48:16 Introduction to Project Flux and AI Gap 49:17 Exploring Project Flux Pro and Its Benefits 49:20 Unleash the Code Intro.wav
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
Highlights from Project Flux Pro Ep 2 — Autonomy, Mythos, and the Industry's Big Reshuffle
This is a free highlights reel from Project Flux Pro — our subscriber-only podcast for serious AEC, Project Delivery + AI watchers. The full, unfiltered episode is exclusive to Pro members.
👉 Subscribe at www.projectflux.ai to unlock the complete episode plus monthly deep dives, the back catalogue, and much more.
What you'll hear in this highlight reel
A fast-moving cut of the biggest moments from Episode 2, covering:
The autonomy threshold — AI agents are finally doing real work without hand-holding. We unpack what Anthropic, Perplexity and Claude are pulling off right now, and where it still falls over.
The model wars are here — Mythos vs GPT-6, the noise around Spud, and why the frontier might not be where the action is.
Construction's consolidation moment — the acquisitions and mergers quietly redrawing the lines between tech and the built environment.
Safety, alignment and breach risk — the conversations the industry isn't having loudly enough, and why "human in the loop" is more than a slogan.
Practical, today-useful AI — scheduling, file management, longitudinal data — the unsexy wins compounding fastest.
Policy & sovereignty — the UK's sovereign AI fund and what international collaboration actually looks like.
Plus heads-up on PCG Fight Night (16 May, online) and the Autodesk Conference in Amsterdam.
Want the full episode?
This is around 10% of what we covered. The complete conversation — including the deeper takes on model safety, the human-in-the-loop framework, the epoch model of AI leadership, and our full industry analysis — is exclusive to Project Flux Pro subscribers.
Full-length monthly Pro episodes (this is just a taster)
The complete back catalogue
Exclusive Blog Posts & Deep Research
Early Access to All New Content
Monthly AI Tool Reviews & Guides
Monthly Live AMA and Expert Sessions
Private Pro Community (Whats App
Events mentioned
PCG Fight Night — 16 May, online live event
Autodesk Conference — Amsterdam, next week
Stay connected
Got feedback, guest ideas, or topics you want us to dig into? Reply to any Project Flux email or drop us a line via projectflux.ai. We read everything.
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
The Profession That Mistakes Process Compliance for Value Delivery Won't See AI Coming / Alistair Godbold, Nichols & APM
In this insightful interview, Alistair Godbold, a seasoned project management expert, shares his perspectives on the impact of AI on project delivery, the importance of human skills, and how the profession can adapt to technological changes. Discover how curiosity, creativity, and ethical considerations will shape the future of project management in an AI-driven world.
Key Topics
Impact of AI on project management The importance of human skills and creativity Adapting to technological change in projects Action Items
Focus on outcomes rather than processes Develop AI literacy and critical thinking skills Move up the value chain by enhancing human skills
Chapters
00:00 Introduction and Guest Introduction 02:00 Alistair's Background and Perspectives on Technology 03:18 Hope and Worries for Future Project Professionals 04:42 Lessons from Early Career and Curiosity 05:41 The Role of Learning and AI in Knowledge Acquisition 06:21 A Fundamental Mistake in Project Delivery 07:21 The Limitations of Process and Logic 08:39 Human Qualities in Change Management 09:45 AI's Support in Project Stages 11:15 The Human Element in AI-Driven Projects 11:47 Impact on Other Industries and Future Skills 12:36 Experience and Skills for Future Architects 13:46 Gamification and Experience Building 14:31 Human Skills in the Age of AI 15:36 Control, Complexity, and Adaptability 16:12 Balancing Control and Flexibility 17:23 Control and Bias in Project Management 18:48 Probing and Eliciting Emergent Behavior in AI 19:55 The Inflection Point of AI Adoption 21:00 Risks of Fizzling Out or Fading Away 21:44 Historical Parallels: Steam, Internet, and AI 23:13 Market Pressure and AI Investment 24:34 Building Infrastructure for AI 25:35 Cultivating Critical Thinking in an AI World 26:27 The Importance of Memory and Questioning 27:32 Connecting and Reasoning with AI 28:15 Moving Up the Value Chain as a Project Professional 29:53 The Future Skills of Project Managers 31:10 Resistance and Change Management 32:20 Balancing Certainty and Uncertainty 32:44 The Next Generation's Adaptability 33:27 The Speed of Technological Change 34:25 Societal and Workplace AI Integration 35:25 The Role of AI in Society and Work 35:58 Job Displacement and AI Washing 37:12 The Future of Success in Society and Projects 38:08 Inspirations and Recommended Reads 40:17 The Power of Philosophy and Critical Thinking 40:58 Final Advice and Closing Remarks 42:23 Unleash the Code 1 Second.mp3 42:26 james .mp4 43:04 Exploring Key Themes in Project Flux 43:26 Unleash the Code Intro.wav
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
Project Flux Special - Fight Night Live: Unveiling the Human and Structural Barriers to AI Adoption
In this episode, we delve into how AI impacts construction and project management, exploring whether it's a tool or a threat, and how culture influences its adoption. Experts discuss technology's effect on jobs, efficiency, and human involvement.
Main Topics:
Culture's role in AI adoption
AI as a tool vs. a job threat
Structural vs. cultural challenges in AI implementation
Key Insights:
Organizational culture significantly affects AI integration
AI can automate tasks but requires trust and oversight
Historical parallels show initial skepticism of new tech
Investing in people and collaboration is crucial
Timestamps:
00:00 - Opening remarks 03:20 - Debate: Culture enabling AI adoption 19:54 - Debate: AI as a tool, not a job replacer 38:28 - Debate: AI's effect on project delivery quality 54:46 - Reflections on technology's complexities 66:12 - Final reflections on culture and change
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
Why Real-Time Control Changes Everything We Assumed About AI / Matthew Carr, Luffy AI
In this episode, Matthew Carr, CEO at Luffy AI discusses the cutting-edge of AI control technology, neuroplasticity, and their applications in industry, robotics, and sustainability. He shares insights into real-time AI, energy efficiency, and the future of AI models, emphasizing practical impacts and innovations.
Key Topics
Real-time AI control and latency importance
Neuroplasticity and adaptive learning in AI
Energy efficiency and sustainability through AI
Applications of AI in robotics and industry
Future trends in AI models and societal impact
Chapters
00:00 Introduction to Matt Carr and Luffy AI 01:06 Matt's Journey in Renewable Energy and Fusion Technology 03:57 The Gap in AI: Real-Time Control Technologies 07:01 Understanding Real-Time Control and Latency in AI 09:50 Neuroplasticity and Self-Adaptive AI Controllers 13:50 The Future of AI in Project Delivery and Industry 17:33 The Role of AI in Reducing Project Failures and Costs 22:29 Innovations in Robotics and Drones 24:00 Granular Control in AI Systems 26:00 The Future of AI Models 30:40 AI and Sustainability 37:57 Balancing Short-term and Long-term Innovations 44:50 Unleash the Code Intro.wav
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
Pip Morpeth on Codifying Knowledge, Closing the Productivity Gap, and Responsible AI in Construction
In this episode, Pip Morpeth, CEO of Method Grid, discusses how AI is transforming project delivery, closing productivity gaps, and the future of responsible AI adoption in construction, energy, and infrastructure industries.
Key Topics
AI-driven project management Closing productivity gaps with AI Building smarter ways of working Responsible AI and trust in technology
Chapters
00:00 Introduction to Method Grid and AI Integration 03:18 Navigating the SaaS Landscape and Innovation Challenges 06:59 Quality Assurance and AI: Overlooked Opportunities 09:38 The Impact of AI on Productivity and Quality 12:20 AI Washing: Understanding Real vs. Faux AI 15:29 Trust and Competition in AI Development 17:53 Misunderstandings About AI and Its Complexity 21:14 Future Perspectives on AI Development 49:32 Unleash the Code 1 Second.mp3 49:35 james .mp4 50:12 Exploring Key Themes in Project Flux 50:21 Introduction to Project Flux 50:21 Exploring the Core Principles of Project Management 50:35 Unleash the Code Intro.wav
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
The Truth About AI in Construction (No One Tells You This)
Alice Graham, a Solutions Specialist at Procore, shares her journey from quantity surveying to tech, exploring the impact of AI and digital transformation in construction. This episode delves into the challenges, opportunities, and future of AI regulation, data ownership, and industry innovation.
Key Topics
AI and digital transformation in construction Data ownership and industry regulation Adoption of technology in quantity surveying
Chapters
00:00 Introduction to Alice Graham and Her Journey 02:54 The Transformation of Cost Management in Construction 05:51 The Role of Technology in Quantity Surveying 08:39 Data Ownership and Psychological Safety in Cost Management 11:27 Challenges in Technology Adoption for Quantity Surveyors 14:14 The Impact of AI and Regulation in the Industry 24:10 Exploring the Dual Nature of AI in Creativity 25:48 AI as a Tool: Perspectives and Implications 28:37 The Future of AI: Beyond Just a Tool 30:19 AI's Historical Context and Its Evolution 31:57 Personalization and Privacy in AI 34:28 Blurring Lines: Personal and Work AI Dynamics 36:40 The Impact of AI on SaaS and Business Models 42:04 The Future of Construction: AI's Role in Project Delivery 43:25 Cultural Perspectives: Speed vs. Quality in Tech 46:09 Unleash the Code 1 Second.mp3 46:12 james .mp4 46:50 Exploring Key Themes in Project Flux 46:59 Introduction to Project Flux 46:59 Exploring the Core Principles of Project Management 47:12 Unleash the Code Intro.wav
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
The Future of Work in 2026: AI, Jobs & Skills You NEED
In this episode, AI expert Ben Tasker discusses the rapid evolution of AI, workforce transformation, upskilling strategies, and the future impact of AI on various industries. Gain insights into managing AI adoption and preparing for the AI-driven future.
Key Topics
AI rapid evolution and updates
Workforce upskilling and reskilling
AI adoption challenges and opportunities
Chapters
00:00 Introduction to AI Landscape and Overwhelm 02:53 The AI Between Times: Structural Changes in Work 05:42 Workforce Transformation: Upskilling and Reskilling 08:40 Understanding the Capability Gap in AI Adoption 11:09 Skills and Capability Assessments for AI 14:07 Creating a Learning Culture in Organizations 16:54 Balancing AI Adoption and Cultural Resistance 19:47 Navigating Radical Innovation in AI Usage 22:35 The Future of Work and AI Skills 27:59 AI's Impact on Job Roles and Industries 31:53 The SaaS Landscape and AI Integration 38:12 Navigating the AI-Driven Future 43:06 james .mp4 43:46 Engagement and Community Building 43:59 Introduction to Project Flux 43:59 Exploring the Core Principles of Project Management 44:17 Unleash the Code Intro.wav
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
Why Excel is Killing Your Projects (And What to Use Instead)
In this insightful interview, Mohammad Shana'a, CEO of Morta, discusses how their platform is transforming construction project management through data integration, trust-building, and AI. Discover how Morta's bottom-up approach is creating industry-wide trust and efficiency, and explore the future role of AI in construction.
Key Topics
♦️ Trust is the constraint: Most construction failures trace back to fragmented, unreliable data — not capability gaps. Transparency is the fix.
♦️ Admin work is the silent killer: Automating menial tasks isn't about efficiency for its own sake — it's about returning professionals to strategic thinking.
♦️ Data integrity before AI: Deploying AI on bad data compounds errors. Getting foundations right is the unglamorous prerequisite no one wants to talk about.
♦️ Bottom-up beats top-down: Lasting digital change in construction starts with the people who actually run workflows — not mandates from above.
Chapters
00:00 Introduction to Morta and Mo Shanna 03:17 User Experience and Project Management Solutions 06:17 AI's Role in Project Delivery 09:13 Trust Issues in the Construction Industry 11:49 The Impact of AI on Trust and Data Management 14:38 Navigating AI Use Cases in Construction 17:38 Balancing Automation and Human Oversight 24:46 The Importance of Information in AI 26:08 Managing Information Overload and Hallucinations 27:50 The Shift from Excel to Structured Data 29:31 Navigating Point Solutions vs. No-Code Platforms 31:34 The Challenge of Collaboration in Construction 34:07 Weaning Off Excel: A Gradual Process 36:58 Bottom-Up vs. Top-Down Approaches in Adoption 43:45 AI Tools for Organizational Knowledge 45:48 The Need for Automated Tracking and Reporting
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
Can AI Predict Human Behaviour? Inside Electric Twin Technology
In this episode, Kat Wendelstadt, leading marketing at Electric Twin, discusses the innovative use of AI in creating synthetic audiences for market research. She shares insights into the mechanics, ethical considerations, and future potential of AI-driven human behavior modeling, highlighting how these tools can revolutionize decision-making across industries.
Key Topics
AI-driven synthetic audiences Data science and social science integration Ethical considerations in AI modeling
Chapters
00:00 Introduction to Electric Twin and AI 02:44 The Mechanics of Synthetic Audiences 05:23 Origin Story of Electric Twin 08:09 Ethics and Safety in AI 10:51 Applications in Niche Markets 13:34 Surprising Insights from Synthetic Audiences 16:19 Validation of AI Insights 19:16 Complementary Role of AI in Research 21:58 Future of Electric Twin and Accessibility 22:25 Expanding Horizons: Global Reach and Future Plans 23:45 Navigating Market Strategies: The Art of Timing 26:54 Adapting to AI: The Future of Consumer Search 30:53 Data Privacy and Consumer Trust: The New Normal 33:32 Personal Growth: Tools and Recommendations for Success 37:34 Design and Creativity: The Human Touch in Tech 41:33 Unleash the Code 1 Second.mp3 41:36 james .mp4 42:13 Exploring Key Themes in Project Flux 42:22 Introduction to Project Flux 42:22 Exploring the Core Principles of Project Management 42:36 Unleash the Code Intro.wav
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
How to Use AI Like a Pro (Stop Dabbling, Start Doing)
Unlocking the Power of AI: Strategies from an Industry Educator In this episode, we sit down with Paul Carney, founder of Ishtot and an AI educator, to explore practical approaches to mastering AI and transforming from a casual dabbling into a confident doer. Discover insights on effective prompting, structuring projects, overcoming adoption barriers, and understanding AI's true capabilities.
Key Topics:
The importance of structured prompts and templates for consistent AI results
How to shift from dabbling to doing with AI through profiles and data sheets
The role of emotional intelligence (EQ) and adaptability in human-AI interaction
Underutilized features like project management in ChatGPT for personal and business use
How to identify and mitigate AI biases and bad assumptions
The future of AI technology: hype vs. real potential, including browser-based models
Practical tips for staying current in the rapidly evolving AI landscape
Personal stories on innovating with AI in education and industry
The significance of documenting and sharing AI processes within organizations
Emerging trends: AI in higher education, ethical considerations, and energy sustainability
Timestamps:
00:00 - Introducing Paul Carney and the mission of demystifying AI
02:05 - Why structured prompts are key to effective AI use
08:50 - Staying ahead in the fast-moving AI space
13:02 - Common pitfalls in AI project management and templates
15:18 - Spotting and correcting AI's bad assumptions
17:39 - The impact of emotional intelligence on human-AI interactions
20:05 - Avoiding bias and ensuring AI fairness
24:29 - Hype versus reality: AI browser tools and models
35:28 - The future of AI in education and how universities can adapt
44:07 - Personal passions: Wine Tasting Fridays and building community
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
Women in AI : The Confidence Gap Nobody is Talking About
In this inspiring interview, Cydnie Thompson shares her journey from South London to Germany, overcoming personal hurdles and embracing AI to empower women entrepreneurs worldwide. The conversation explores AI's potential for equality, systemic barriers, and the ethical considerations of technological power.
Key Topics
Cydnie Thompson's personal journey and mindset shift
The confidence gap and imposter syndrome among women in tech
The role of AI in empowering underrepresented women entrepreneurs
Systemic barriers and the potential of AI to address inequality
Ethical considerations and the future impact of AI on society
Chapters
00:00 Introduction to Sid Thompson and Her Journey 06:09 Empowering Women Entrepreneurs with AI 11:52 The Confidence Gap in Tech and AI 17:35 Building Community and Support for Women in AI 23:13 AI as a Tool for Equality and Sustainability 28:40 The Future of AI and Its Global Impact 29:29 India's AI Curriculum and Global Energy Needs 31:28 World Leaders and AI Agendas 32:58 The Influence of Tech Companies 34:45 Empowerment in the Age of AI 37:23 Generational Perspectives on AI 38:46 Recommended Reads and AI Tools 47:36 james .mp4 48:17 Exploring Key Themes in Project Flux 48:26 Introduction to Project Flux 48:26 Exploring the Core Principles of Project Management 48:39 Unleash the Code Intro.wav
Links and Stuff
Here is our sponsor Morta's website link: morta.io
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
AI4QS Report Explained | The Future of Quantity Surveying in 2026
This episode explores the transformative impact of AI on the Quantity Surveying profession, emphasizing responsible use, data-driven decision making, and future skills. Experts Kudirat Ayinla and Abdullahi Saka share insights on AI adoption, ethical considerations, and how QS professionals can stay ahead in a rapidly evolving landscape.
Key Topics
AI's impact on QS profession
Responsible use and ethics of AI
Data literacy and structured data importance
Evolving role of QS as digital advisors
Strategies for AI adoption in construction
Chapters
00:00 Introduction to AI for QS Report 02:16 The Role of AI in the Construction Industry 05:48 Sustainability and AI: A Balancing Act 11:47 Challenges in AI Adoption within QS Profession 18:30 AI Readiness and Competency Framework 23:01 The Evolving Role of Quantity Surveyors 28:31 AI in Construction: Building Trust and Oversight 30:39 Establishing AI Governance in Organizations 33:11 The Necessity of AI in Quantity Surveying 37:07 Balancing AI Use and Foundational Skills in Education 44:56 The Future of Quantity Surveying: Embracing Change and Innovation 50:23 Unleash the Code 1 Second.mp3 50:26 james .mp4 51:04 Exploring Key Themes in Project Flux 51:15 Exploring the Core Principles of Project Management 51:29 Unleash the Code Intro.wav
Get the Report https://ai4qs.com/AI4QS-Report-2025.pdf Find out more about AI4QS - https://ai4qs.com/resources
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
This 70-Story Building Changed How We Use AI in Engineering
This interview explores the rapid evolution of AI in construction and architecture, focusing on how AI can transform design, optimize processes, and address industry challenges. Diego Padilla Phillips shares insights on multi-objective optimization, the linear nature of current workflows, and the future potential of AI to foster innovation and sustainability. In this insightful interview, industry experts discuss the future of architecture, AI, and construction. Topics include sustainable design, AI's role in project delivery, and the evolving skills of engineers and architects.
Key Topics
AI-driven multi-objective optimization in design
The linear and siloed nature of current construction workflows
The potential of AI to foster innovation and creativity
Challenges and opportunities in adopting AI in construction
The future of sustainable and efficient building design AI's role in sustainable architecture
The evolution of engineering skills in the AI era
Future construction technologies and robotics
Chapters
00:00 Introduction to Decarbonization and Innovation 02:59 Innovation Beyond Gradual Improvements 05:55 Eureka Moments in Design and AI 08:41 Challenges of Working in Silos 11:39 The Limitations and Misconceptions of AI 14:39 Job Displacement: AI as a Tool for Professionals 18:32 The Future of Design: AI's Role in Building Usage 21:42 Balancing Iconic Design with Practicality 25:04 Sustainability and Longevity in Building Design 27:25 The Future of Engineering Education 28:57 Training the Next Generation of Engineers 31:11 The Impact of Technology on Design Processes 32:28 The Dual Nature of AI in Engineering 34:43 Looking Ahead: The Future of the Industry 34:45 Envisioning the Future of Architecture 36:37 Designing for Efficiency and Sustainability 39:35 The Role of Robotics in Construction 42:26 Creativity and Human-Centered Design 44:10 Adapting to Change in Engineering Education 46:12 Driving Change for a Sustainable Future 47:25 james .mp4 48:02 Unleash the Code 1 Second.mp3 48:05 Introduction to Project Flux 48:05 Exploring Key Themes in Project Flux 48:16 Introduction to Project Flux 48:16 Exploring the Core Principles of Project Management
Diego's Linked in https://www.linkedin.com/in/padilladiego/
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
In this episode, James and Yoshi explore the rapid advancements in AI, including model updates, agentic tools, and the societal implications of AI integration. They discuss the evolution of AI models, the rise of autonomous agents, and the potential future scenarios shaping our world.
Key Topics
AI model evolution and benchmarks
Agentic tools and skills in AI
Societal and ethical implications of AI
Future scenarios of AI development
AI in prediction markets and geopolitics
Chapters
00:00 Back to Basics: The Evolution of Project Flux 04:35 Agentic AI: The New Frontier 08:15 Claude Skills: Automating Workflows 11:30 The Impact of AI on High-Value Work 16:17 Trusting AI: The Human vs. Machine Dilemma 20:28 Practical Applications of AI in Daily Life 23:54 The Future of Prediction Markets and AI 27:02 The Impact of AI on Society and Globalization 30:11 The AI Investment Race 31:59 The Dark Side of AI: Deepfakes and Manipulation 32:54 The Future of Acting and Creativity 33:50 AI's Impact on Education and Content Creation 34:46 The Uncertain Future of AI Safety 36:06 The Political Implications of AI Development 37:29 The Arms Race: AI and Global Power Dynamics 38:50 Humanoid Robots: The Next Frontier 40:47 The Integration of Robots in Daily Life 42:33 The Future of Construction and Robotics 44:30 The Social Dynamics of Humanoid Robots 45:25 Conclusion: The Exciting and Scary Future of AI 45:59 Unleash the Code 1 Second.mp3 46:02 james .mp4 46:39 Unleash the Code 1 Second.mp3 46:43 Exploring Key Themes in Project Flux 46:51 Introduction to Project Flux 46:51 Exploring the Core Principles of Project Management 47:04 Unleash the Code Intro.wav
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
AI & Ocean Intelligence: How Wave Data is Transforming Offshore Infrastructure | Jana Stella
In this insightful interview, Jana Stella, founder of New Wave Technologies, shares her journey from oceanography and deep learning to pioneering AI applications in environmental science and offshore infrastructure. Discover how AI is transforming wave modeling, offshore wind energy, and the future of sustainable technology.
Key Topics
Deep learning analogy with mirrors and maze of mirrors
AI's role in oceanography and wave modeling
Impact of AI on offshore wind and infrastructure
Challenges in hiring and scaling AI in environmental tech
Future visions: quantum computing and AI in ocean science
Chapters
00:00 Introduction to Jana Stella and New Wave Technologies 02:53 Deep Learning Explained: The Mirror Analogy 05:45 AI's Role in Environmental Science and Sustainability 08:22 Wave Technology: Modeling and Forecasting 11:12 Bridging the Gap: AI and Offshore Infrastructure 14:09 Challenges in AI Implementation and Team Building 16:38 The Complexity of Oceanographic Data and AI Models 19:38 The Fragility of Subsea Cables and Their Importance 22:25 Concluding Thoughts on AI and Environmental Impact 24:37 Navigating Offshore Renewable Energy Challenges 26:20 The Importance of Boldness in Project Delivery 28:48 AI's Role in Transforming Industries 32:48 Universal Basic Income: A Vision for the Future 37:09 The Dual Nature of Technology: Good vs. Evil 39:23 Personal Insights and Future Aspirations 44:41 Unleash the Code 1 Second.mp3 44:44 james .mp4 45:22 Exploring Key Themes in Project Flux 45:30 Unleash the Code Intro.wav
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
AI Revolution: The Hidden Truths and Surprising Impacts on Our Future
In this episode of the Project Flux podcast, James and Yoshi engage with Mike Palladino, a transformational leader and agile expert, discussing the evolving landscape of AI in project management. They explore the common threads in how organizations react to AI, the differences between corporate and non-profit perspectives, and the importance of the human element in AI implementation. The conversation delves into the hype cycle surrounding AI, the evolution of jobs in the age of automation, and the limitations of AI in decision-making. They also touch on the significance of agile methodologies and the future of human interaction with AI, emphasizing the need for continuous learning and adaptation in a rapidly changing environment.
Takeaways
The nervousness about AI stems from the rapid rate of change. Corporate and non-profit sectors have different paces and mindsets regarding AI. AI can help automate mundane tasks but may not fully replace human roles. The hype cycle of AI often leads to inflated expectations and subsequent disappointments. Job roles will evolve, but new opportunities will arise alongside AI advancements. AI's decision-making capabilities are limited by its training data and context understanding. Agile methodologies are essential for adapting to the fast-paced changes brought by AI. The human experience is crucial in project management and should not be overlooked in AI implementations. Continuous learning and exploration of new ideas are vital for growth in the AI landscape. Cohesiveness in culture is diminishing due to echo chambers created by technology.
Chapters
00:00 Introduction to Mike Palladino 02:23 Navigating Change: The Impact of AI on Project Delivery 03:39 Corporate vs Non-Profit: Understanding Different Paces 05:08 The Role of AI in Non-Profit Organizations 06:48 The Hype Cycle of AI: Expectations vs Reality 09:35 The Human Element in AI and Project Delivery 12:06 The Future of Jobs: Adapting to Change 17:42 Rethinking Engineering Solutions: The People Question 23:48 Agile Mindset: Beyond the Buzzword 26:16 Navigating Agile in an AI-Driven World 28:53 The Limitations of AI in Decision Making 31:41 The Human Experience vs. AI Efficiency 34:29 Understanding AI's Decision-Making Process 38:26 The Importance of Learning and Exploration 42:13 Cultural Impacts of AI and Technology 47:29 Unleash the Code 1 Second.mp3 47:32 james .mp4 48:32 Unleash the Code Intro.wav
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
In this conversation, Rajeev Kapur discusses the evolution from prompt engineering to context engineering in AI, emphasizing the importance of providing detailed context for effective AI interactions. He shares insights from his career, the impact of AI on project management, and the common mistakes people make when prompting AI. Rajeev also addresses concerns about job security due to AI, the democratization of AI for entrepreneurship, and the future of robotics and energy. He concludes with real-life success stories and the potential for AI to create new opportunities while highlighting the need for gradual adaptation to these technologies.
Takeaways
Context is crucial for effective AI prompting.
The evolution from prompt engineering to context engineering is significant.
Common mistakes in AI prompting include vagueness and lack of detail.
AI can enhance productivity and create new job opportunities.
Generational differences affect the adoption of AI technologies.
AI democratizes entrepreneurship and learning for everyone.
Hallucinations in AI outputs are a function of training data.
The future of AI includes smart cars and robotics.
Real-life success stories demonstrate the potential of AI.
Gradual adaptation to AI technologies is essential for success.
Chapters
00:00 Introduction to Rajeev Kapoor and AI Journey 05:03 The Evolution of AI and ChatGPT 09:51 Understanding AI Hallucinations and Their Impact 14:27 Practical AI Implementation Strategies 18:40 The Future of AI: Context Engineering and Prompting 49:59 Unleash the Code Intro.wav
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
Unlocking the Future of Project Control and AI Innovation at nPlan's AI Day
In collaboration with the Gen AI Podcast, this episode was filmed at nPlan's AI Day, where we explore groundbreaking advancements in project management technology, the impact of AI on markets, and the importance of scenario planning through multiverse thinking. Join us for insights from industry experts on how these innovations are shaping the future.
Key Topics
How Schedule Studio enables fast, large-scale scenario analysis with up to 3,000 activities generated instantly
The concept of multiverse thinking in project planning to manage uncertainties and ill unforeseen events
The significance of AI plugins and integrations, including barriers and opportunities in project controls
The risks and security considerations of proactive agents like Claude Bot and Maltbook
Market reactions to AI developments, including plugins' influence on financial markets and long-term strategy implications
Future possibilities of space-based data centers and AI in space exploration
Timestamps
00:00 - Introduction to Project AI Day and event excitement 00:24 - Recap of AI Day preparations and expectations 00:43 - Demonstration of schedule automation connecting to project control loops 01:23 - The importance of speed in scenario analysis and project adjustments 02:26 - Launch of Schedule Studio upgrades for large-scale schedules 03:17 - Handling equipment and technical setup for live demos 04:18 - Multiverse thinking: exploring scenarios with high breadth and rapid iteration 04:44 - Uploading and managing millions of schedules with automation tools 05:46 - Integration capabilities with external data sources like Procore and Barry 06:19 - AI plugin market dynamics and strategic implications 07:21 - Political and market reactions to AI advancements and plugin launches 08:41 - Westworld's Rehoboam and the future of scenario-based decision making 09:33 - AI balancing in project planning to mitigate risks and optimize outcomes 10:31 - Practical inputs for real-time scenario updates during projects 11:43 - Incorporating AI intuition and human experience in decision-making 12:36 - The security risks of AI agents and proactive bots like Claude Bot 14:21 - The evolution of Maltbook and agent interaction influences 15:09 - The potential societal and privacy impacts of pervasive AI agents 16:52 - The competitive edge of hyper-vertical AI tools over generalist models 18:08 - Market implications of AI plugins and how they disrupt traditional industries 19:35 - Long-term investment strategies amidst AI disruption and market volatility 21:35 - The rise of specialized AI and the decline of broad, generalist models 24:27 - Risks of personal data exposure and the importance of safe AI deployment 27:00 - Society's adaptation to diminishing privacy and AI's role in personal autonomy 33:29 - The concept of project superintelligence and its evolution beyond current tools 36:11 - Mars colonization ambitions linked to AI and space tech mergers 39:00 - Feasibility of space-based data centers and energy considerations 40:17 - Closing remarks and upcoming involved projects
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
In this episode of the Project Flux podcast, Maryrose Lyons discusses the transformative impact of AI on the built environment.
The conversation explores the evolution of curiosity in AI adoption, practical applications of AI in daily work, and the importance of empowering humans rather than replacing them. Maryrose emphasises the need for a shift in mindset towards experimentation and innovation, as well as the potential of spatial AI and robotics to redefine the future of work.
The episode concludes with insights on the emerging landscape of AI agents and their implications for various industries.
Takeaways
Curiosity is essential for success in the AI era.
AI should empower humans, not replace them.
The built environment is rapidly adopting AI technologies.
Experimentation is key to navigating AI challenges.
Training in AI should focus on practical applications.
Spatial AI will fundamentally change the industry.
Midsize companies are leading in AI adoption.
AI can automate mundane tasks, freeing up time for creativity.
The future of work will be more fluid and less prescriptive.
Agents in AI need to be clearly defined and understood.
Chapters
00:00 Introduction to AI and Curiosity 02:13 The Evolution of AI Perception 05:23 Practical Applications of AI in Daily Life 08:16 The Role of Curiosity in AI Adoption 11:11 The Competitive Landscape of AI 14:04 Future of AI and Human Empowerment 17:53 Transforming Work Through AI Training 20:40 Rethinking Old Processes for New Solutions 22:27 Managing Change and Embracing Experimentation 24:29 Agile Learning and Tailored Training Solutions 26:51 Fostering Creativity and Curiosity in Teams 28:58 The Future of Work: Fluid Processes and AI 32:03 Decoupling Process from AI Solutions 33:51 Understanding AI Agents vs. Virtual Assistants 36:56 The Future of AI Agents 39:30 The Evolution of AI and Its Impact 41:36 Key Skills for Leaders in Construction 43:10 The Rise of Spatial AI
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
The RICS AI Standard: What It Means for QSs and the Future of Professional Practice
In a special collaboration, we join Own the Build podcast for their 250th episode alongside the RICS. This conversation arrives at a pivotal moment: the RICS has just published its first-ever global professional standard for the responsible use of AI in surveying, coming into effect in March 2026.
Unpacking what this means for Quantity Surveyors (QS'), valuers, project professionals, software vendors and construction leaders, is:
James Garner — Head of AI & Data at Gleeds, Chair of the Project Data Analytics Task Force, and host of Project Flux.
Chris de Gruben — Senior Director & Head of AI at Artefact; co-chair of the RICS AI Working Group.
Matthew Lavy — Barrister at 4 Pump Court specialising in technology disputes and AI liability.
Across this wide-ranging, practical and occasionally provocative discussion, the panel explore:
Why the RICS created this standard now: Member demand, regulatory pressure, industry lag, and a cultural shift from “AI as a threat” to “AI as a professional tool”.
The core pillars of responsible AI use: Risk registers, explainability, transparency to clients, PI considerations, shadow AI, enterprise-grade tools, and why “professional judgement” remains non-negotiable.
What AI will — and won’t — replace: From AVMs and automated cost analysis to complex valuation, negotiation, context, and human judgement.
The difference between enabling and restricting innovation: Why the RICS guidance is intentionally light-touch and principle-based, and how it avoids the rigidity of the EU AI Act.
What this means for QSs, valuers, employers, universities and software vendors: Future training, AI literacy, cultural change, documentation, and how practitioners can protect themselves while accelerating adoption.
The future of surveying and construction in an AI-native world: Agentic workflows, robotics, quantum computing, and the real-world impact on productivity, risk, client expectations and professional identity.
This is a landmark conversation at a turning point for the profession. If you want clarity on how AI will shape surveying, cost management and construction over the next five years — and what you should do in 2026 — this is essential listening.
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
Mark Enzer & Gavin Spencer (APM): The Windsor Series Wake-Up Call on AI in the Boardroom
In this episode of the Project Flux podcast, host James engages with Mark Enzer and Gavin Spencer to discuss the intersection of project management and artificial intelligence. They explore the importance of systems thinking, the need for a federated approach to data management, and the role of AI in shaping the future of project delivery. The conversation emphasizes the necessity of starting with clear outcomes, the significance of data quality, and the collaboration between humans and AI. They also touch on future trends in project management and the importance of ethical considerations in technology use
Takeaways
Start with the end in mind to guide project outcomes.
Projects are interconnected systems that require a holistic view.
AI can enhance our understanding of complex systems.
A federated approach to data management is more effective.
Data quality is crucial for successful AI implementation.
We must start somewhere with our data management efforts.
AI should serve human needs, not dominate them.
Metamodernism offers a hopeful perspective for the future.
Shaping the future of project management requires collective effort.
Ethical considerations in technology use are paramount.
Chapters
04:53 The Windsor Project Summit Insights 09:39 Systems Thinking in Project Management 14:34 AI's Role in Infrastructure and Project Delivery 19:09 Shaping the Future of Project Management 23:56 The Human-Tech Relationship in Project Management 26:51 Tech Serving Humanity: Ethical Considerations 29:23 Data Quality: The Foundation of AI Success 36:16 Interoperability in Project Delivery: Challenges and Solutions 40:06 Human Skills in an AI World: The Importance of Clarity 43:48 Emerging Trends: Metamodernism and the Future of Purpose
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
Mike Clayton interviews James and Yoshi on what to expect in 2026
In this conversation, Project Flux representatives discuss the evolving landscape of AI in project management, highlighting key trends and challenges from 2025 and predictions for 2026. They explore the illusion of intelligence in AI, the responsibility of project professionals in governance, the impact of hallucinations on implementation, and the shift from pilot projects to full-scale adoption. The discussion also touches on the quality of AI-generated content, the role of data centers, and the emergence of vibe coding and robotics, ultimately questioning whether the future of project management will be evolutionary or revolutionary.
Takeaways
AI has created an illusion of intelligence that doesn't hold in real-world applications.
Project professionals must take responsibility for AI governance and implementation.
The shift from pilot projects to full implementation of AI is crucial for success.
AI psychosis refers to the uncritical belief in AI outputs, which can be harmful.
Hallucinations in AI outputs pose significant challenges for industries relying on accurate data.
The quality of AI-generated content varies greatly, leading to concerns about 'AI slop'.
The project management profession is at a crossroads between evolution and revolution due to AI.
Strategic work in project management will become clearer as AI tools evolve.
Data centers are crucial for the future of AI, but sustainability must be considered.
Vibe coding is an emerging trend that allows for more intuitive AI interactions.
Chapters
00:00 Introduction to Project Flux and AI Trends 02:42 The Illusion of Intelligence in AI 05:41 The Responsibility of Project Professionals in AI Governance 08:31 Emerging Technologies: Agentic AI and AI Psychosis 11:20 Challenges in AI Implementation: Hallucinations and Data Quality 14:03 The Shift from Pilots to Full Implementation 16:56 AI Slop and the Quality of AI-Generated Content 19:44 The Future of Project Management: Evolution vs. Revolution 22:29 Strategic Work and Context Engineering in AI 25:17 The Role of Data Centers and Sustainability in AI 28:26 Vibe Coding and the Rise of Robotics 31:19 The Future of AI in Project Management
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
The Invisible Project Manager: Why Artificial Intelligence Will Run Tomorrow’s Projects — Without You
In this episode of the Project Flux podcast, Peter Taylor discusses the transformative role of AI in project management. He introduces the concept of the 'Invisible Project Manager,' emphasizing how AI can automate repetitive tasks, allowing project managers to focus on critical thinking and strategic oversight. Taylor highlights the importance of human interaction in project management, even as automation increases. He advocates for education and training in AI to prepare project managers for the future, stressing that accountability and critical thinking will be essential in navigating the challenges posed by AI. The conversation explores the evolving roles within project management and the balance between technology and human insight.
Takeaways
Peter Taylor emphasizes the importance of AI in transforming project management.
The concept of 'productive laziness' is central to Taylor's philosophy.
AI can automate repetitive tasks, allowing project managers to focus on critical thinking.
The role of the project manager is evolving to include more strategic oversight.
Human interaction remains crucial in project management despite increasing automation.
Education and training in AI are essential for project managers to adapt.
The future of project management will require a balance between AI and human insight.
Taylor believes that accountability in project management will shift with AI integration.
The invisible project manager concept suggests a more automated approach to project oversight.
Critical thinking will be vital in navigating the challenges posed by AI.
Chapters
00:00 Introduction to Peter Taylor and His Work 02:57 The Evolution of Project Management and AI 05:47 The Role of AI in Project Management 08:33 The Concept of the Invisible Project Manager 11:27 Human Elements in Project Management 14:15 The Future of Project Management Roles 16:56 Education and Upskilling in AI for Project Managers 22:33 The Importance of AI Education 23:41 Accountability in Project Management 25:38 Bias in AI and Its Implications 28:42 Critical Thinking and Resilience in the Workforce 30:02 The Role of Data in AI 33:00 Resistance to AI Adoption 33:45 Shadow Systems and Personal AI 37:53 Leadership Styles in AI-Driven Organizations 39:16 Transformative Moments in Project Management 41:06 Recommended Reads for Project Managers 43:22 Unleash the Code 1 Second.mp3 43:25 james .mp4 44:02 Unleash the Code 1 Second.mp3 44:04 ending.mp4 44:38 Unleash the Code Intro.wav
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
AI in 2025: What Worked, What Failed & What’s Next in 2026
In this episode of the Project Flux podcast, James, Yoshi and John discuss the key trends and realisations from 2025 in the realm of AI, including the cultural shifts in adoption, the importance of context in implementation, and the challenges of accountability and ROI. They also make predictions for 2026, exploring the evolving dynamics between consultancy and tech companies, the regulatory landscape, and the future of robotics and AGI.
Takeaways
2025 was marked by a trough of disillusionment in AI.
95% of AI pilots or projects are failing due to cultural issues.
AI implementation requires a cultural change, not just a tech rollout.
Context is crucial for effective AI use in businesses.
The lines between consultancy and tech companies are blurring.
AI is seen as a coworker that accelerates human impact.
Emerging risks in AI need proactive governance.
The ROI of AI projects is often misreported due to hidden time savings.
Skills in critical thinking and communication will be vital in 2026.
Robotics and AGI advancements are expected to accelerate in the coming years.
Chapters
00:00 Introduction and Overview of 2025 03:05 The Trough of Disillusionment in AI 05:57 Cultural Shifts and AI Implementation Challenges 08:43 The Importance of Context in AI Usage 11:36 AI Tools and Their Evolving Landscape 14:30 Transparency and Accountability in AI 17:07 The ROI Dilemma in AI Adoption 20:08 Predictions for 2026: The Future of AI 23:56 The Evolution of AI Acquisition Strategies 27:25 The Rise of AI-Driven Startups 28:50 Transforming Revenue Models in Professional Services 30:16 The Future of Change Management in Tech 30:28 Navigating AI Regulation and Governance 33:07 Emerging Risks in AI and Human Behavior 35:55 The Path to Artificial General Intelligence (AGI) 40:13 The Future of Robotics and Humanoid Interaction 43:44 Unleash the Code 1 Second.mp3
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
The Truth About AI Music — With Tim Fraser & Anna Mylee
In this episode of the Project Flux podcast, James and Yoshi explore the intersection of AI and the music industry with professional musicians Anna Mylee and Tim Fraser. They discuss the impact of AI on music creation, the ethical implications of AI-generated music, and the future of songwriting in an increasingly automated world. The conversation delves into personal experiences with AI, the importance of authenticity in music, and the potential for a divide between AI-generated and human-created music. Takeaways
AI is reshaping the entire music industry.
The music industry has been struggling for years.
AI can create music that lacks the human touch.
Authenticity in music is becoming harder to prove.
Consumers may prefer AI music for its cost-effectiveness.
The future of music may see a divide between AI and human creativity.
Artists need to create music for themselves, not just for profit.
AI can assist in songwriting but cannot replace human emotion.
AI raise ethical questions in music.
The music industry must adapt to technological changes.
Chapters
00:00 Introduction to AI in Music 02:39 Anna's Perspective on AI's Impact 04:55 Tim's Optimism and Historical Context 07:20 The Music Industry's Response to AI 09:52 AI as a Tool for Songwriters 12:13 The Ethics of Sampling and AI 15:06 AI's Limitations in Creativity 17:40 The Role of Backstory in Music 19:58 Conclusion: The Future of Music and AI 23:25 The Role of AI in Music Creation 28:58 Authenticity in the Age of AI 38:18 Hope and the Future of Music 42:04 Collaborating with Legends
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.
How to Measure Anything in Project Management with Douglas Hubbard and Andreas Leed
In this episode of the Project Flux podcast, hosts discuss the importance of measuring uncertainty in project management with authors Douglas Hubbard and Andreas Leed. They explore the challenges faced in different industries, the role of AI in improving project outcomes, and the need for a quantitative approach to decision-making. The conversation emphasises the human element in project management, the necessity of adapting to emerging technologies, and the future implications of AI on jobs and project management practices.
Takeaways
Measuring uncertainty can lead to better project decisions.
AI can enhance project management through simulations and data analysis.
Fewer projects with bigger returns are preferable.
Risk matrices are ineffective and should be replaced with quantitative measures.
Human involvement is crucial in AI-driven project management.
Project Flux is independently owned, funded, and operated by its founder. Any external references or features are for community benefit only and do not imply endorsement, control, or ownership.